AI Data Engineer Jobs in Magnus Technology Solutions New York, NY

Job Title: AI Data Engineer (Fresher / Entry-Level)

Location: [Onsite or Remote]
Employment Type: Full-time
Experience Level: Fresher / 0–1 years
Department: Data Engineering / AI & Machine Learning

Job Summary:

We are seeking a highly motivated and detail-oriented AI Data Engineer (Fresher) to join our growing Data and AI team. You will work on building scalable data pipelines, cleaning and preparing datasets for AI/ML models, and supporting data infrastructure for real-world AI solutions.

Key Responsibilities:

• Design, build, and maintain data pipelines using tools like Python, SQL, Spark, or Airflow

• Collect, clean, and preprocess structured and unstructured data for machine learning models

• Collaborate with data scientists and machine learning engineers to understand data needs

• Ensure data quality and consistency through validation and testing

• Work with cloud platforms (AWS, GCP, Azure) and data warehouses (Snowflake, BigQuery, Redshift)

• Automate data workflows and support real-time data streaming where applicable

• Monitor and optimize data processing systems for performance and scalability

Required Skills and Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field

• Strong knowledge of Python and SQL

• Understanding of data structures, algorithms, and database systems

• Basic knowledge of machine learning concepts and AI workflows

• Familiarity with version control tools like Git

• Good problem-solving skills and attention to detail

• Eagerness to learn new tools and technologies in data and AI

Preferred (Nice to Have):

• Exposure to big data tools like Hadoop, Spark, Kafka

• Internship or academic project experience with data engineering or AI

• Familiarity with cloud services like AWS Lambda, S3, or GCP Dataflow

• Knowledge of data modeling and ETL concepts

Benefits:

• Opportunity to work with an experienced data science & engineering team

• Training and mentorship in AI, ML, and data engineering tools

• Flexible work hours and hybrid/remote options

• Competitive salary package for freshers

• Career growth path in AI and Data Engineering